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Aligning the Measurement of Microbial Diversity with Macroecological Theory
The number of microbial operational taxonomic units (OTUs) within a community is akin to species richness within plant/animal (“macrobial”) systems. A large literature documents OTU richness patterns, drawing comparisons to macrobial theory. There is, however, an unrecognized fundamental disconnect...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5033968/ https://www.ncbi.nlm.nih.gov/pubmed/27721808 http://dx.doi.org/10.3389/fmicb.2016.01487 |
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author | Stegen, James C. Hurlbert, Allen H. Bond-Lamberty, Ben Chen, Xingyuan Anderson, Carolyn G. Chu, Rosalie K. Dini-Andreote, Francisco Fansler, Sarah J. Hess, Nancy J. Tfaily, Malak |
author_facet | Stegen, James C. Hurlbert, Allen H. Bond-Lamberty, Ben Chen, Xingyuan Anderson, Carolyn G. Chu, Rosalie K. Dini-Andreote, Francisco Fansler, Sarah J. Hess, Nancy J. Tfaily, Malak |
author_sort | Stegen, James C. |
collection | PubMed |
description | The number of microbial operational taxonomic units (OTUs) within a community is akin to species richness within plant/animal (“macrobial”) systems. A large literature documents OTU richness patterns, drawing comparisons to macrobial theory. There is, however, an unrecognized fundamental disconnect between OTU richness and macrobial theory: OTU richness is commonly estimated on a per-individual basis, while macrobial richness is estimated per-area. Furthermore, the range or extent of sampled environmental conditions can strongly influence a study's outcomes and conclusions, but this is not commonly addressed when studying OTU richness. Here we (i) propose a new sampling approach that estimates OTU richness per-mass of soil, which results in strong support for species energy theory, (ii) use data reduction to show how support for niche conservatism emerges when sampling across a restricted range of environmental conditions, and (iii) show how additional insights into drivers of OTU richness can be generated by combining different sampling methods while simultaneously considering patterns that emerge by restricting the range of environmental conditions. We propose that a more rigorous connection between microbial ecology and macrobial theory can be facilitated by exploring how changes in OTU richness units and environmental extent influence outcomes of data analysis. While fundamental differences between microbial and macrobial systems persist (e.g., species concepts), we suggest that closer attention to units and scale provide tangible and immediate improvements to our understanding of the processes governing OTU richness and how those processes relate to drivers of macrobial species richness. |
format | Online Article Text |
id | pubmed-5033968 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-50339682016-10-07 Aligning the Measurement of Microbial Diversity with Macroecological Theory Stegen, James C. Hurlbert, Allen H. Bond-Lamberty, Ben Chen, Xingyuan Anderson, Carolyn G. Chu, Rosalie K. Dini-Andreote, Francisco Fansler, Sarah J. Hess, Nancy J. Tfaily, Malak Front Microbiol Microbiology The number of microbial operational taxonomic units (OTUs) within a community is akin to species richness within plant/animal (“macrobial”) systems. A large literature documents OTU richness patterns, drawing comparisons to macrobial theory. There is, however, an unrecognized fundamental disconnect between OTU richness and macrobial theory: OTU richness is commonly estimated on a per-individual basis, while macrobial richness is estimated per-area. Furthermore, the range or extent of sampled environmental conditions can strongly influence a study's outcomes and conclusions, but this is not commonly addressed when studying OTU richness. Here we (i) propose a new sampling approach that estimates OTU richness per-mass of soil, which results in strong support for species energy theory, (ii) use data reduction to show how support for niche conservatism emerges when sampling across a restricted range of environmental conditions, and (iii) show how additional insights into drivers of OTU richness can be generated by combining different sampling methods while simultaneously considering patterns that emerge by restricting the range of environmental conditions. We propose that a more rigorous connection between microbial ecology and macrobial theory can be facilitated by exploring how changes in OTU richness units and environmental extent influence outcomes of data analysis. While fundamental differences between microbial and macrobial systems persist (e.g., species concepts), we suggest that closer attention to units and scale provide tangible and immediate improvements to our understanding of the processes governing OTU richness and how those processes relate to drivers of macrobial species richness. Frontiers Media S.A. 2016-09-23 /pmc/articles/PMC5033968/ /pubmed/27721808 http://dx.doi.org/10.3389/fmicb.2016.01487 Text en Copyright © 2016 Stegen, Hurlbert, Bond-Lamberty, Chen, Anderson, Chu, Dini-Andreote, Fansler, Hess and Tfaily. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Stegen, James C. Hurlbert, Allen H. Bond-Lamberty, Ben Chen, Xingyuan Anderson, Carolyn G. Chu, Rosalie K. Dini-Andreote, Francisco Fansler, Sarah J. Hess, Nancy J. Tfaily, Malak Aligning the Measurement of Microbial Diversity with Macroecological Theory |
title | Aligning the Measurement of Microbial Diversity with Macroecological Theory |
title_full | Aligning the Measurement of Microbial Diversity with Macroecological Theory |
title_fullStr | Aligning the Measurement of Microbial Diversity with Macroecological Theory |
title_full_unstemmed | Aligning the Measurement of Microbial Diversity with Macroecological Theory |
title_short | Aligning the Measurement of Microbial Diversity with Macroecological Theory |
title_sort | aligning the measurement of microbial diversity with macroecological theory |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5033968/ https://www.ncbi.nlm.nih.gov/pubmed/27721808 http://dx.doi.org/10.3389/fmicb.2016.01487 |
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